A WEIGHTED LINEAR REGRESSION MODEL FOR IMPERCISE RESPONSE

Authors

  • ALIREZA ARABPOUR DEPARTMENT OF STATISTICS, FACULTY OF MATHEMATICS AND COMPUTER, SHAHID BAHONAR UNIVERSITY OF KERMAN, KERMAN, IRAN.
  • MARZEI AMINI DEPARTMENT OF STATISTICS, FACULTY OF MATHEMATICS AND COMPUTER, SHAHID BAHONAR UNIVERSITY OF KERMAN, KERMAN, IRAN.
Abstract:

A weighted linear regression model with impercise response and p-real explanatory variables is analyzed. The LR fuzzy random variable is introduced and a metric is suggested for coping with this kind of variables. A least square solution for estimating the parameters of the model is derived. The result are illustrated by the means of some case studies.

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Journal title

volume 3  issue 1

pages  1- 17

publication date 2014-01-01

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